Chief Machine Learning Operations Director

hace 5 días


Madrid, Madrid, España Tomtom A tiempo completo

About the Role

We are seeking an experienced Chief Machine Learning Operations Director to lead our MLOps team. This role will be responsible for fostering a collaborative and performance-driven environment, developing and implementing strategies for scalable and efficient machine learning model development and deployment.

Key Responsibilities:

  • Oversee the end-to-end machine learning lifecycle, including data preparation, model training, validation, deployment, and monitoring.
  • Collaborate with cross-functional teams (Applied Scientists, Data Scientists, Software Engineers, Product Managers) to integrate ML models into products and services.
  • Ensure adherence to best practices in ML model governance, security, and compliance.
  • Drive continuous improvement in MLOps processes and tools, leveraging the latest advancements in technology.
  • Provide technical guidance and mentorship to team members.
  • Manage the budget, resources, and timelines for MLOps projects.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Minimum of 5 years experience in a similar role, with a focus on machine learning, data science, or software engineering.
  • Proven experience in managing and scaling ML models in production environments.
  • Strong knowledge of ML frameworks and cloud platforms (Azure, AWS).
  • Experience with containerization and orchestration technologies (Docker, Kubernetes).
  • Familiarity with MLOps tools and practices (CI/CD, monitoring, logging).

The Ideal Candidate:

  • Excellent leadership and team management skills.
  • Strong problem-solving and analytical abilities.
  • Excellent communication and interpersonal skills.

About TomTom

We're Maps, a global team within TomTom's Location Technology Products technical unit. We offer a competitive salary: $250,000 per year, time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O'Reilly and LinkedIn Learning.

What We Offer:

  • A competitive compensation package.
  • Time and resources to grow and develop.
  • Time to support life outside of work.
  • Work from home, the office, or even abroad – each team has the flexibility to choose how they work based on business needs.
  • Improve your home office with a setup budget and get extra support with a monthly allowance.
  • Enjoy options to work from your home country and abroad for a set number of days each year.
  • Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.


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